Sciweavers

CVPR
2007
IEEE
14 years 1 months ago
Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
Yun Fu, Ming Liu, Thomas S. Huang
CRV
2007
IEEE
137views Robotics» more  CRV 2007»
14 years 1 months ago
Quantitative Evaluation of Feature Extractors for Visual SLAM
We present a performance evaluation framework for visual feature extraction and matching in the visual simultaneous localization and mapping (SLAM) context. Although feature extra...
Jonathan Klippenstein, Hong Zhang
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
14 years 2 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
IJCNN
2008
IEEE
14 years 2 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu
ICPR
2008
IEEE
14 years 2 months ago
A fast image retrieval system using index lookup table on mobile device
The development of mobile-based image retrieval system is required for the efficient management about various image data with fast growth of mobile devices. The resource of mobil...
Junyeong Yang, Sanghyuk Park, Hacheon Seong, Hyera...
ICPR
2008
IEEE
14 years 2 months ago
Extraction of complex wavelet features for iris recognition
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform’s propert...
XiaoFu He, Pengfei Shi
ICIP
2008
IEEE
14 years 2 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
14 years 2 months ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
ICASSP
2008
IEEE
14 years 2 months ago
Multisensor multiband cross-energy tracking for feature extraction and recognition
In this paper, we present a multisensor multiband energy tracking scheme for robust feature extraction in noisy environments. We introduce a multisensor feature extraction algorit...
Stamatios Lefkimmiatis, Petros Maragos, Athanassio...
ICUIMC
2009
ACM
14 years 2 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee